QVQ-72B-Preview: benchmark results

Alibaba's experimental 72B visual-reasoning model built on Qwen2-VL-72B, released as a December 2024 research preview. Provider: Alibaba. Released 2024-12-24. Access: Open.

Aggregate Rating 1600 ± 12, rank #440 of 1656 rated models, from 174 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
GraphVerse - Maximum Common Subgraph (Paired Images) - VGR-Score39.9Visual graph reasoning score (0-100; 0.7 process + 0.3 answe100
Open LMM Reasoning - MathVerse - Applied53.2Accuracy (%)98
OpenVLM MathVista - STA86.7Accuracy (%)96.6
OpenVLM MathVista - FQA77.7Accuracy (%)96.1
Open LMM Reasoning - MathVerse - Coordinate75Accuracy (%)95.9
GraphVerse - Maximum Independent Set - VGR-Score45.3Visual graph reasoning score (0-100; 0.7 process + 0.3 answe94.4
Open LMM Reasoning - LogicVista - numerical84.2Accuracy (%)93.8
Open LMM Reasoning - MathVision - analytic geometry46.4Accuracy (%)93.4
Open LMM Reasoning - LogicVista58.2Accuracy (%)93.2
Open LMM Reasoning - DynaMath - Subject-analytic geometry; Avg56.9Accuracy (%)92.9
Open LMM Reasoning - MathVerse - Plane Geometry51.6Accuracy (%)92.9
Open LMM Reasoning - DynaMath - Subject-analytic geometry22.7Accuracy (%)92.3

Interactive version: theaggregate.ai/model?slug=qvq-72b-preview · How It Works · Data refreshed daily, snapshot 2026-10-20.